6 papers · 1 filter
Heterogeneous Graph Neural Networks for Assumption-Based Argumentation
Preesha Gehlot, Anna Rapberger, Fabrizio Russo +1
Assumption-Based Argumentation (ABA) is a powerful structured argumentation formalism, but exact computation of extensions under stable semantics is intractable for large framework…
PeerArg: Argumentative Peer Review with LLMs
Purin Sukpanichnant, Anna Rapberger, Francesca Toni
Peer review is an essential process to determine the quality of papers submitted to scientific conferences or journals. However, it is subjective and prone to biases. Several studi…
Learning Brave Assumption-Based Argumentation Frameworks via ASP
Emanuele De Angelis, Maurizio Proietti, Francesca Toni
Assumption-based Argumentation (ABA) is advocated as a unifying formalism for various forms of non-monotonic reasoning, including logic programming. It allows capturing defeasible…
On the Correspondence of Non-flat Assumption-based Argumentation and Logic Programming with Negation as Failure in the Head
Anna Rapberger, Markus Ulbricht, Francesca Toni
The relation between (a fragment of) assumption-based argumentation (ABA) and logic programs (LPs) under stable model semantics is well-studied. However, for obtaining this relatio…
Argumentative Causal Discovery
Fabrizio Russo, Anna Rapberger, Francesca Toni
Causal discovery amounts to unearthing causal relationships amongst features in data. It is a crucial companion to causal inference, necessary to build scientific knowledge without…
Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation
Tuomo Lehtonen, Anna Rapberger, Francesca Toni +2
Most existing computational tools for assumption-based argumentation (ABA) focus on so-called flat frameworks, disregarding the more general case. In this paper, we study an instan…